An Evaluation of COVID-19 Impacts on Dental Office Visits

Bayham, Mary; Cothron, Annaliese; Boynes, Sean G.; Okunev, Ilya; Bayham, Jude

doi:10.35565/dqp.2020.2019

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…To adjust for weather-related changes in park visits, we included weekly measures for precipitation days (i.e., number of days with >1 mm precipitation) and average daily maximum temperature. County-level surface meteorological variables were computed using the gridMET dataset as the average value of all gridded cells in a county (Abatzoglou, 2013; Bayham, 2020).…”

Section: Methodsmentioning

confidence: 99%

Policy and Environmental Predictors of Park Visits During the First Months of the COVID-19 Pandemic: Getting Out While Staying in

Curtis

Rigolon

Schmalz

et al. 2021

Environment and Behavior

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The COVID-19 pandemic may have altered visitation patterns to parks, with potential effects on human health. Little is known about park use early in the pandemic, how park availability influenced use, and whether park visits accelerated COVID-19 spread. Using weekly cell phone location data for 620 U.S. counties, we show park visits decreased by an average 26% between March 15 and May 9, 2020. Net of weekly trends, park visits were 2.2% lower when stay-at-home orders were in effect, yet increased by 8.4% with school closures and 4.4% with business closures. Park visits decreased less during the pandemic in counties where park availability was high. Levels of park visits were not associated with COVID-19 growth rate or incidence in the following weeks. Thus, parks served as recreation and leisure outlets when schools and businesses closed, especially where parks were more available, with no evidence of park use increasing COVID-19 spread.

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Section: Methodsmentioning

confidence: 99%

Policy and Environmental Predictors of Park Visits During the First Months of the COVID-19 Pandemic: Getting Out While Staying in

Curtis

Rigolon

Schmalz

et al. 2021

Environment and Behavior

View full text Add to dashboard Cite

show abstract

“…With a decreased risk of severe illness and increased likelihood of being asymptomatic [ 27 ], younger individuals may feel more comfortable leaving their homes and neglecting social distancing measures. In addition, young individuals more often work in industries and positions that require them to leave their homes thus, contributing to greater mobility [ 28 ] relative to older individuals who may be retired or able to work from home. These factors taken together point to the implications for a new wave that could overwhelm colleges and other institutions where younger persons are over-represented.…”

Section: Discussionmentioning

confidence: 99%

Examining longitudinal disparities in COVID-19 prevalence in the U.S.: a county level growth rate perspective

et al. 2022

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Background: The objectives of the present study are to understand the longitudinal variability in COVID-19 reported cases at the county level and to associate the observed rates of infection with the adoption and lifting of stay-home orders. Materials and Methods: The study uses the trajectory of the pandemic in a county and controls for social and economic risk factors, physical environment, and health behaviors to elucidate the social determinants contributing to the observed rates of infection. Results and conclusion: Results indicated that counties with higher percentages of young individuals, racial and ethnic minorities and, higher population densities experienced greater difficulty suppressing transmission.Except for Education and the Gini Index, all factors were influential on the rate of COVID-19 spread before and after stay-home orders. However, after lifting the orders, six of the factors were not influential on the rate of spread; these included: African-Americans, Population Density, Single Parent Households, Average Daily PM2.5, HIV Prevalence Rate, and Home Ownership. It was concluded that different factors from the ones controlling the initial spread of COVID-19 are at play after stay-home orders are lifted. KEY MESSAGES Observed rates of COVID-19 infection at the County level in the U.S. are not directly associated with adoption and lifting of stay-home orders. Disadvantages in sociodemographic determinants negatively influence the rate of COVID-19 spread. Counties with more young individuals, racial and ethnic minorities, and higher population densities have greater difficulty suppressing transmission.

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An Evaluation of COVID-19 Impacts on Dental Office Visits

Cited by 2 publications

References 20 publications

Policy and Environmental Predictors of Park Visits During the First Months of the COVID-19 Pandemic: Getting Out While Staying in

Policy and Environmental Predictors of Park Visits During the First Months of the COVID-19 Pandemic: Getting Out While Staying in

Examining longitudinal disparities in COVID-19 prevalence in the U.S.: a county level growth rate perspective

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